LOGIC NETWORKS / PLANNING NOTES
Start AI with a useful workflow and a clear owner.
NIST’s AI Risk Management Framework offers voluntary guidance for considering trustworthiness across AI design, use, and evaluation. For a business team, a practical starting point is one well-understood workflow.
Logic Networks editorial · NIST: AI Risk Management Framework
01 / A PRACTICAL NEXT STEP
Choose a measurable friction point
Describe a repetitive task, how often it happens, the people involved, and where errors or delays occur. Examples include routing an inquiry or preparing a draft for review. Record the current process before proposing a change.
02 / A PRACTICAL NEXT STEP
Define data and decision boundaries
Identify the information the workflow needs and who may access it. Decide what a person must approve, which actions should stay manual, and how exceptions reach an accountable owner.
03 / A PRACTICAL NEXT STEP
Pilot, review, then expand
Test with suitable non-sensitive examples, compare results with your baseline, and record failures as well as useful improvements. Agree on the owner, review cadence, and fallback before making the workflow part of daily operations.
Turn the questions into a plan.
Explore your priorities in six steps, or add the related service to your draft.